Nick Young is a physics and computational mathematics, science, and engineering PhD candidate working with Danny Caballero. He earned his B.S. in physics and astronomy at The Ohio State University. His current work seeks to understand the physics graduate school admissions process through machine learning methods. He also serves as the PERL webmaster and is a MSU Hub for Innovation in Learning and Technology Graduate Fellow.
Outside of the lab, Nick is involved in science communication. He writes for the physics education research blog, PERbites and serves as the vice president of marketing for MSU's science communication student organization, MSUSciComm.
For a list of publications and past projects, please visit his personal website, www.nickyoungper.com.